Web Behavior Detection Based on Deep Neural Network

被引：8
|
作者：
Yong, Binbin [1 ,2 ]
Liu, Xin [1 ]
Liu, Yan [3 ]
Yin, Hang [1 ]
Huang, Liang [2 ]
Zhou, Qingguo [1 ]
机构：
[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Gansu, Peoples R China
[2] Lanzhou Univ, Sch Phys Sci & Technol, Lanzhou, Gansu, Peoples R China
[3] Baidu, Baidu X Lab, Beijing, Peoples R China
来源：
2018 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI) | 2018年
基金：
中国国家自然科学基金;
关键词：
network security; web injection; deep neural network; webshell detection; RANDOM FOREST; CLASSIFICATION;
D O I：
10.1109/SmartWorld.2018.00320
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Network security is a complex and difficult problem, in which web injection is one of the most serious security problems, especially webshell. A webshell is a malicious script used by an attacker with the intent to escalate and maintain persistent access to an already compromised Web application. To recognize the webshells, a tool to analyze the behavior of webshells is very important. In this paper, we design a deep neural network (DNN) and apply it into webshell detection. Results show that DNN has great potential for network security detection.
引用
收藏
页码：1911 / 1916
页数：6
相关论文
共 50 条
  • [31] Global Anomaly Detection Based on a Deep Prediction Neural Network
    Li, Ang
    Miao, Zhenjiang
    Cen, Yigang
    Mladenovic, Vladimir
    Liang, Liequan
    Zheng, Xinwei
    HUMAN CENTERED COMPUTING, 2019, 11956 : 211 - 222
  • [32] Research on image saliency detection based on deep neural network
    Qiu, Linrun
    Zhang, Dongbo
    Hu, Yingkun
    IET IMAGE PROCESSING, 2024, 18 (12) : 3393 - 3402
  • [33] Research on Daily Objects Detection Based on Deep Neural Network
    Ding, Sheng
    Zhao, Kun
    2017 INTERNATIONAL SYMPOSIUM ON APPLICATION OF MATERIALS SCIENCE AND ENERGY MATERIALS (SAMSE 2017), 2018, 322
  • [34] Deep Neural Network–Based Detection and Verification of Microelectronic Images
    Md Alimoor Reza
    Zhenhua Chen
    David J. Crandall
    Journal of Hardware and Systems Security, 2020, 4 (1) : 44 - 54
  • [35] Detection Method of Citrus Based on Deep Convolution Neural Network
    Bi S.
    Gao F.
    Chen J.
    Zhang L.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2019, 50 (05): : 181 - 186
  • [36] A Deep Neural Network Based on Circular Representation for Target Detection
    Lin, Cong
    Chen, Zhoujian
    Huang, Yiquan
    Jiang, Haoyu
    Du, Wencai
    Chen, Qiong
    JOURNAL OF SENSORS, 2022, 2022
  • [37] CATARACT DETECTION AND GRADING BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK
    Zhang, Hongyan
    Niu, Kai
    Xiong, Yanmin
    Yang, Weihua
    He, Zhiqiang
    Song, Hongxin
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2019, 60 (09)
  • [38] Calligraphy Character Detection Based on Deep Convolutional Neural Network
    Peng, Xianlin
    Kang, Jian
    Wu, Yinjie
    Feng, Xiaoyi
    APPLIED SCIENCES-BASEL, 2022, 12 (19):
  • [39] Lane detection based on IBN deep neural network and attention
    Song, Yue
    Wang, Li-yong
    Wang, Hao-dong
    Li, Meng-lin
    CONNECTION SCIENCE, 2022, 34 (01) : 2671 - 2688
  • [40] Forward Vehicle Detection Based on Deep Convolution Neural Network
    Zhao, Dongbo
    Li, Hui
    ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III, 2019, 2073
12345